A collection of MCP servers.

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals

Based on the learnware paradigm, the learnware package supports the entire process including the submission, usability testing, organization, identification, deployment, and reuse of learnwares. Si…

Beimingwu is the first systematic open-source implementation of the learnware dock system, providing a preliminary research platform for learnware studies and enabling effective learnware search an…

A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.

Official implement for "SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion"(NeurIPS'24) in PyTorch.

A comprehensive toolkit and benchmark for tabular data learning, featuring 35+ deep methods, more than 10 classical methods, and 300 diverse tabular datasets.

🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"

Code tasks for NJU TSA (Time Series Analysis) course

ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse

[ICLR 2023 Oral] Image as Set of Points

Real time transcription with OpenAI Whisper.

A practical few-shot learning approach based on MAML.

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

Class-Incremental Learning: A Survey (TPAMI 2024)

FFCV: Fast Forward Computer Vision (and other ML workloads!)

NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

Probabilistic time series modeling in Python

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

Resources for working with time series and sequence data

list of papers, code, and other resources

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…

Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"

PyTorch implementation for Histogram Loss

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).